Real Skill packageSource verifiedClawHub registry

Etherscan Transaction Debugger

Analyze and explain one or two EVM transactions using live Etherscan data and human-verifiable Etherscan evidence links. Use when a user provides a transaction hash or asks what happened, why a transaction failed, which contracts or internal calls were involved, where assets moved, whether a proxy i

Identity and source

Publisher attributionetherscanregistry owner unverified by skillvetai
Functional categoryEnterprise Functionsautomatically inferred · 58% rule confidence
Package forminstruction with code11 recorded files
Canonical sourceClawHub registryclawhub:etherscan:etherscan-transaction-debugger
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/24/2026.claude/skills/etherscan-transaction-debugger

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/24/2026.agents/skills/etherscan-transaction-debugger

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/24/2026skills/etherscan-transaction-debugger

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @etherscan/etherscan-transaction-debugger
clawhub inspect @etherscan/etherscan-transaction-debugger --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
11 / 11 inspected as text
Checked
9/24/2026, 5:18:47 PM
Scanner
0.1.3
Policy
1.0.3
4 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/24/2026, 8:58:49 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:c47072bfb049a465f17afc52882514594a82329583ae47bef77bf403b9cba17e
Show up to 11 recorded paths
  • agents/openai.yaml
  • assets/transaction-report-template.md
  • references/evidence-collection.md
  • references/execution-semantics.md
  • references/failure-analysis.md
  • references/regression-cases.md
  • references/reporting.md
  • scripts/collect_transaction_data.py
  • scripts/summarize_transaction.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release — turn Etherscan transaction data into clear, independently-verifiable execution stories. - Analyze and explain up to two EVM transactions using live Etherscan data with direct, auditable explorer links. - Support deep evidence gathering: transaction, receipt, internal calls, contract/proxy/ABI data, logs, asset movements, and permission changes. - Smart audience targeting (simple, standard, developer, support, security) with tailored explanations and confidence levels. - Explicit evidence rules and rigorous boundaries: never invent intent, distinguish observed vs. derived vs. inferred facts, warn about missing or partial data. - Etherscan-first positioning to help users directly confirm claims, without overstating trace or verification capabilities.